Fuzzy-Grey Prediction on System Resources of IBM Mainframe Computers
| Autor: | Chi-Hung Shi, 施奇宏 |
|---|---|
| Rok vydání: | 1999 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 87 Data mining is quite generally discussed in the recent years. The data which stores in the computer increases. How to find useful information from these stored data becomes a very import mission, because successful data mining can create the enterprise’s commercial benefits and powerful advantages over its trade enemy. The operating system performed in the mainframe of IBM is OS/390. SMF(System Management Facility) is the tool of system management for OS/390. It records the important information of every job to produce system log. By analyzing the data of SMF, the system engineer can realize the behavior model of OS/390 and predict the utilization of system resources in order to promote the system performance. The system efficiency is crucial to an enterprise’s commercial interests. Therefore, how to improve the system efficiency is quite important. We mine the data of OS/390 system log to find its rule. And then the data can be classified and become fuzzy. Thereby, the system engineer can predict the utilization of system resources in order to allot the system resources. According to the results of our experiments, the accuracy reaches as high as 90%, if we mine the data of computer system log with Fuzzy-Grey Prediction. Therefore, we can jump into the conclusion that Fuzzy-Grey Prediction is an efficient theory to predict the data on system resources of computer mainframe. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
| Externí odkaz: |
|